Robust Artificial Intelligence For Neurorobotics
Download Robust Artificial Intelligence For Neurorobotics full books in PDF, epub, and Kindle. Read online free Robust Artificial Intelligence For Neurorobotics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Robust Artificial Intelligence for Neurorobotics
Author | : Subramanian Ramamoorthy,Joe Hays,Christian Tetzlaff |
Publsiher | : Frontiers Media SA |
Total Pages | : 145 |
Release | : 2022-01-31 |
Genre | : Science |
ISBN | : 9782889742462 |
Download Robust Artificial Intelligence for Neurorobotics Book in PDF, Epub and Kindle
Issues in Artificial Intelligence Robotics and Machine Learning 2011 Edition
Author | : Anonim |
Publsiher | : ScholarlyEditions |
Total Pages | : 1136 |
Release | : 2012-01-09 |
Genre | : Computers |
ISBN | : 9781464964718 |
Download Issues in Artificial Intelligence Robotics and Machine Learning 2011 Edition Book in PDF, Epub and Kindle
Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Artificial Intelligence, Robotics and Machine Learning. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence, Robotics and Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence, Robotics and Machine Learning: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Neurorobotics
Author | : Tiffany J. Hwu,Jeffrey L. Krichmar |
Publsiher | : MIT Press |
Total Pages | : 245 |
Release | : 2022-11-29 |
Genre | : Technology & Engineering |
ISBN | : 9780262047067 |
Download Neurorobotics Book in PDF, Epub and Kindle
An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.
Artificial Intelligence
Author | : Masoud Yazdani |
Publsiher | : Chapman & Hall |
Total Pages | : 380 |
Release | : 1986 |
Genre | : Computers |
ISBN | : UVA:X001180374 |
Download Artificial Intelligence Book in PDF, Epub and Kindle
Neurorobotics explores machine learning
Author | : Fei Chen,Jose De Jesus Rubio,Mu-Yen Chen |
Publsiher | : Frontiers Media SA |
Total Pages | : 248 |
Release | : 2023-01-20 |
Genre | : Science |
ISBN | : 9782832511916 |
Download Neurorobotics explores machine learning Book in PDF, Epub and Kindle
Advances in Robots Trajectories Learning via Fast Neural Networks
Author | : Jose De Jesus Rubio,Yongping Pan,Jeff Pieper,Mu-Yen Chen,Juan Humberto Sossa Azuela |
Publsiher | : Frontiers Media SA |
Total Pages | : 149 |
Release | : 2021-05-14 |
Genre | : Science |
ISBN | : 9782889667680 |
Download Advances in Robots Trajectories Learning via Fast Neural Networks Book in PDF, Epub and Kindle
Minimalist Mobile Robotics
Author | : Jonathan H. Connell |
Publsiher | : Elsevier |
Total Pages | : 192 |
Release | : 2012-12-02 |
Genre | : Computers |
ISBN | : 9780080511719 |
Download Minimalist Mobile Robotics Book in PDF, Epub and Kindle
Rather than using traditional artificial intelligence techniques, which are ineffective when applied to the complexities of real-world robot navigaiton, Connell describes a methodology of reconstructing intelligent robots with distributed, multiagent control systems. After presenting this methodology, hte author describes a complex, robust, and successful application-a mobile robot "can collection machine" which operates in an unmodified offifce environment occupied by moving people.
Autonomous Robotics and Deep Learning
Author | : Vishnu Nath,Stephen E. Levinson |
Publsiher | : Springer Science & Business Media |
Total Pages | : 73 |
Release | : 2014-04-11 |
Genre | : Computers |
ISBN | : 9783319056036 |
Download Autonomous Robotics and Deep Learning Book in PDF, Epub and Kindle
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical first step towards reaching “deep learning,” long considered the holy grail for machine learning scientists worldwide. Using the example of the iCub, a humanoid robot which learns to solve 3D mazes, the book explores the challenges to create a robot that can perceive its own surroundings. Rather than relying solely on human programming, the robot uses physical touch to develop a neural map of its environment and learns to change the environment for its own benefit. These techniques allow the iCub to accurately solve any maze, if a solution exists, within a few iterations. With clear analysis of the iCub experiments and its results, this Springer Brief is ideal for advanced level students, researchers and professionals focused on computer vision, AI and machine learning.